Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Woergoetter Florentin"'
Autor:
Kulvicius, Tomas, Zhang, Dajie, Poustka, Luise, Bölte, Sven, Jahn, Lennart, Flügge, Sarah, Kraft, Marc, Zweckstetter, Markus, Nielsen-Saines, Karin, Wörgötter, Florentin, Marschik, Peter B
There is a recent boom in the development of AI solutions to facilitate and enhance diagnostic procedures for established clinical tools. To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recog
Externí odkaz:
http://arxiv.org/abs/2406.09014
Autor:
Vogg, Richard, Lüddecke, Timo, Henrich, Jonathan, Dey, Sharmita, Nuske, Matthias, Hassler, Valentin, Murphy, Derek, Fischer, Julia, Ostner, Julia, Schülke, Oliver, Kappeler, Peter M., Fichtel, Claudia, Gail, Alexander, Treue, Stefan, Scherberger, Hansjörg, Wörgötter, Florentin, Ecker, Alexander S.
Advances in computer vision as well as increasingly widespread video-based behavioral monitoring have great potential for transforming how we study animal cognition and behavior. However, there is still a fairly large gap between the exciting prospec
Externí odkaz:
http://arxiv.org/abs/2401.16424
Autor:
Ziaeetabar, Fatemeh, Safabakhsh, Reza, Momtazi, Saeedeh, Tamosiunaite, Minija, Wörgötter, Florentin
Automatic video description requires the generation of natural language statements about the actions, events, and objects in the video. An important human trait, when we describe a video, is that we are able to do this with variable levels of detail.
Externí odkaz:
http://arxiv.org/abs/2311.07285
Autor:
Ziaeetabar, Fatemeh, Safabakhsh, Reza, Momtazi, Saeedeh, Tamosiunaite, Minija, Wörgötter, Florentin
Nuanced understanding and the generation of detailed descriptive content for (bimanual) manipulation actions in videos is important for disciplines such as robotics, human-computer interaction, and video content analysis. This study describes a novel
Externí odkaz:
http://arxiv.org/abs/2310.00670
Building a representative model of a complex system remains a highly challenging problem. While by now there is basic understanding of most physical domains, model design is often hindered by lack of detail, for example concerning model dimensions or
Externí odkaz:
http://arxiv.org/abs/2305.09325
Movement generation, and especially generalisation to unseen situations, plays an important role in robotics. Different types of movement generation methods exist such as spline based methods, dynamical system based methods, and methods based on Gaus
Externí odkaz:
http://arxiv.org/abs/2211.13024
Traditional AI-planning methods for task planning in robotics require a symbolically encoded domain description. While powerful in well-defined scenarios, as well as human-interpretable, setting this up requires substantial effort. Different from thi
Externí odkaz:
http://arxiv.org/abs/2211.08321
Autor:
Kulvicius, Tomas, Zhang, Dajie, Nielsen-Saines, Karin, Bölte, Sven, Kraft, Marc, Einspieler, Christa, Poustka, Luise, Wörgötter, Florentin, Marschik, Peter B
Aiming at objective early detection of neuromotor disorders such as cerebral palsy, we proposed an innovative non-intrusive approach using a pressure sensing device to classify infant general movements (GMs). Here, we tested the feasibility of using
Externí odkaz:
http://arxiv.org/abs/2208.00884
Autor:
Marschik, Peter B, Kulvicius, Tomas, Flügge, Sarah, Widmann, Claudius, Nielsen-Saines, Karin, Schulte-Rüther, Martin, Hüning, Britta, Bölte, Sven, Poustka, Luise, Sigafoos, Jeff, Wörgötter, Florentin, Einspieler, Christa, Zhang, Dajie
Publikováno v:
iScience, 2023
Video recording is a widely used method for documenting infant and child behaviours in research and clinical practice. Video data has rarely been shared due to ethical concerns of confidentiality, although the need of shared large-scaled datasets rem
Externí odkaz:
http://arxiv.org/abs/2207.11020
We propose a method for 3D object reconstruction and 6D-pose estimation from 2D images that uses knowledge about object shape as the primary key. In the proposed pipeline, recognition and labeling of objects in 2D images deliver 2D segment silhouette
Externí odkaz:
http://arxiv.org/abs/2203.01051